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» Kolmogorov-Loveland Randomness and Stochasticity
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JCB
2006
124views more  JCB 2006»
13 years 8 months ago
The Distribution of Genomic Distance between Random Genomes
We study the probability distribution of genomic distance d under the hypothesis of random gene order. We translate the random order assumption into a stochastic method for constr...
David Sankoff, Lani Haque
AAAI
1997
13 years 10 months ago
Effective Bayesian Inference for Stochastic Programs
In this paper, we propose a stochastic version of a general purpose functional programming language as a method of modeling stochastic processes. The language contains random choi...
Daphne Koller, David A. McAllester, Avi Pfeffer
VMV
2001
108views Visualization» more  VMV 2001»
13 years 10 months ago
A Theoretical Comparison of Monte Carlo Radiosity Algorithms
In this paper, we present a theoretical analysis of the error with three basic Monte Carlo radiosity algorithms, based on continuous collision shooting random walks, discrete coll...
Philippe Bekaert, Hans-Peter Seidel
ICCAD
2007
IEEE
96views Hardware» more  ICCAD 2007»
14 years 5 months ago
Monte-Carlo driven stochastic optimization framework for handling fabrication variability
Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven sto...
Vishal Khandelwal, Ankur Srivastava
CORR
2010
Springer
103views Education» more  CORR 2010»
13 years 8 months ago
Random Information Spread in Networks
Let G = (V, E) be an undirected loopless graph with possible parallel edges and s, t V . Assume that s is labelled at the initial time step and that every labelled vertex copies i...
Raymond Lapus, Frank Simon, Peter Tittmann